.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "gallery/validation/pymiescatt/coreshell_1.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_gallery_validation_pymiescatt_coreshell_1.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_gallery_validation_pymiescatt_coreshell_1.py:


Core-Shell Particles: 1
=======================

.. GENERATED FROM PYTHON SOURCE LINES 6-90



.. image-sg:: /gallery/validation/pymiescatt/images/sphx_glr_coreshell_1_001.png
   :alt: Comparison of Scattering Efficiency for Core-Shell Particles
   :srcset: /gallery/validation/pymiescatt/images/sphx_glr_coreshell_1_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # Standard library imports
    import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt
    from PyMieSim.units import ureg

    # PyMieSim imports
    from PyMieSim.experiment.scatterer_set import CoreShellSet
    from PyMieSim.experiment.source_set import GaussianSet
    from PyMieSim.experiment.polarization_set import PolarizationSet
    from PyMieSim.experiment import Setup
    from PyMieSim.directories import validation_data_path

    # Define parameters
    wavelength = 600 * ureg.nanometer
    polarization = PolarizationSet(angles=0 * ureg.degree)
    optical_power = 1 * ureg.watt
    NA = 0.2
    medium_index = 1.0
    core_index = 1.5
    shell_index = 1.4
    shell_thickness = 600 * ureg.nanometer
    core_diameters = np.geomspace(10, 500, 400) * ureg.nanometer

    # Configure the Gaussian source
    source = GaussianSet(
        wavelength=[600] * ureg.nanometer,
        polarization=polarization,
        optical_power=[1] * ureg.watt,
        numerical_aperture=[0.2]
    )

    # Setup core-shell scatterer
    scatterer = CoreShellSet(
        core_diameter=core_diameters,
        shell_thickness=shell_thickness,
        core_material=[1.5],
        shell_material=[1.4],
        medium=[1.0],
    )

    # Create experimental setup
    experiment = Setup(scatterer_set=scatterer, source_set=source)

    comparison_measures = ["Qsca", "Qext", "Qabs", "g", "Qpr", "Qback"]

    # Simulate using PyMieSim
    pymiesim = experiment.get(*comparison_measures, as_numpy=True)

    pymiescatt_dataframe = pd.read_csv(
        validation_data_path / "pymiescatt/example_coreshell_1.csv"
    )

    figure, ax = plt.subplots(1, 1)


    for string in comparison_measures:
        ax.plot(
            pymiescatt_dataframe["core_diameter"],
            pymiescatt_dataframe[string],
            label="PyMieScatt: " + string,
            linewidth=3,
        )


    for data, string in zip(pymiesim, comparison_measures):
        ax.plot(
            core_diameters.to(ureg.nanometer).magnitude,
            data,
            label="PyMieSim: " + string,
            linestyle="--",
            color="black",
            linewidth=1.5,
        )


    ax.set(
        xlabel="Core Diameter (μm)",
        ylabel="Scattering Efficiency",
        title="Comparison of Scattering Efficiency for Core-Shell Particles",
    )
    plt.legend()
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.473 seconds)


.. _sphx_glr_download_gallery_validation_pymiescatt_coreshell_1.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: coreshell_1.ipynb <coreshell_1.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: coreshell_1.py <coreshell_1.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: coreshell_1.zip <coreshell_1.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_